Silencio-2: 18M-parameter open TTS runs 20x realtime on CPU

On November 2, 2026, a developer posted Silencio-2 to the r/LocalLLaMA subreddit, describing it as a fine-tune of Kyutai's Pocket TTS 18M open-source text-to-speech model, with 18.2M parameters. According to the post, the model follows tags written inside the text to control emotion and delivery, such as [sigh], <whisper> and <angry>, with examples like "What a long day. [sigh]", "Keep your voice down. <whisper>" and "I said stop!

<angry>". The author says the weights and code are available on Hugging Face at BlueRoseLabs/Silencio-2, and provides a Colab notebook for trying it in the browser with no setup required. On performance, the author claims roughly 20x real-time speed on a CPU. The model is free and open, with no paid tier and no API behind it. One caveat: the post itself is written by the author of the model, who explicitly notes that readers should treat it as biased. At this point, the release consists of the announcement, the Hugging Face weights and code, and the Colab demo; no third-party verification or follow-up developments have been reported yet.